Maxime Oquab

6 papers and 1.7k indexed citations i.

Maxime Oquab has authored 6 papers that have received a total of 1.7k indexed citations. This includes 3 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Functional Brain Connectivity Studies (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Maxime Oquab is often cited by papers focused on Functional Brain Connectivity Studies (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper) and collaborates with scholars based in France, Israel and United States. Maxime Oquab's co-authors include David López-Paz, Jean-Rémi King, Ivan Laptev, Daniel Haziza and Tao Xu and has published in prestigious journals such as Journal of Neuroscience and NeuroImage